I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Manifold Proximal Point Algorithms for Dual Principal Compo..:
, In:
2019 53rd Asilomar Conference on Signals, Systems, and Computers
,
Chen, Shixiang
;
Deng, Zengde
;
Ma, Shiqian
. - p. 259-263 , 2019
Link:
https://doi.org/10.1109/IEEECONF44664.2019.9048840
RT T1
2019 53rd Asilomar Conference on Signals, Systems, and Computers
: T1
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-9048840&Exemplar=1&LAN=DE A1 Chen, Shixiang A1 Deng, Zengde A1 Ma, Shiqian A1 So, Anthony Man-Cho YR 2019 SN 2576-2303 K1 Manifolds K1 Optimization K1 Machine learning K1 Linear programming K1 Convergence K1 Sun K1 Manifold Optimization K1 Proximal Point Algorithm K1 Subspace Clustering K1 Dictionary Learning SP 259 OP 263 LK http://dx.doi.org/https://doi.org/10.1109/IEEECONF44664.2019.9048840 DO https://doi.org/10.1109/IEEECONF44664.2019.9048840 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)